Machine Learning and Artificial Intelligence

By DeepLearnAcademy • Data Science • 60 hours • 24 students enrolled

About This Course

Join DeepLearn Academy's 6-month online course on Machine Learning and Artificial Intelligence, designed to transform beginners into skilled practitioners. Explore core concepts like supervised and unsupervised learning, neural networks, and deep learning through hands-on projects and expert-led sessions. Perfect for aspiring data scientists and tech enthusiasts, this comprehensive program equips you with the tools to build intelligent systems and thrive in the AI-driven world.

Course Content

Orientation Session: Introduction and Course Structure

Recorded Video • 60 minutes

Module -1 - Python for machine learning - Package Installations & Python Basics

Recorded Video • 60 minutes

Module 1 - Python For Machine Learning - Basics - Part - 1

Recorded Video • 60 minutes

Module 1 - Python For Machine Learning - Array handling, slicing, matrix, numpy, pandas practice

Recorded Video • 60 minutes

Module 1 - Python For Machine Learning - List, Dictionary, Panda, Basics EDA

Recorded Video • 60 minutes

Module 1 - Python For Machine Learning

Recorded Video • 60 minutes

Module 1 - Python For Machine Learning - miscellaneous + Assignments

Recorded Video • 60 minutes

Module 2 - Introduction to Statistics for Machine Learning – Understanding the 3Ms & Central Tendency

Recorded Video • 60 minutes

Module 2 - Statistics Key Concepts for Machine Learning

Recorded Video • 60 minutes

10.

Module 2 - Statistics: Central Limit Theorem & Probability for Machine Learning

Recorded Video • 60 minutes

11.

Module 2 - Statistics: Probability Rules for Machine Learning

Recorded Video • 60 minutes

12.

Module 2 - Bayes’ Theorem: Understanding and Practical Applications

Recorded Video • 60 minutes

13.

Module 2 - Statistics: Hypothesis Testing, Type I & II Errors, and T-Test

Recorded Video • 60 minutes

14.

Module 2 - Statistics: ANOVA and Chi-Square Test with Examples

Recorded Video • 60 minutes

15.

Module 2 - Statistics: Probability Density Function (PDF) Explained

Recorded Video • 60 minutes

16.

Module 2 - Statistics: Final Session – Summary, Insights, and Conclusion

Recorded Video • 60 minutes

17.

Module 3 - Introduction to Exploratory Data Analysis (EDA)

Recorded Video • 60 minutes

18.

Module 3 - EDA: Handling Outliers and Data Preprocessing

Recorded Video • 60 minutes

19.

Module 3 - Understanding Outliers and Detection Techniques

Recorded Video • 60 minutes

20.

Module 3 - Outlier Removing Techniques in Data Analysis

Recorded Video • 60 minutes

21.

Module 3 - Data Preprocessing and Feature Engineering for Machine Learning

Recorded Video • 60 minutes

22.

Module 3 - Understanding Synthetic Data Generation & Data Connectivity Engine with Python

Recorded Video • 60 minutes

23.

Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-1

Recorded Video • 15 minutes

24.

Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-2

Recorded Video • 15 minutes

25.

Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-3

Recorded Video • 15 minutes

26.

Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-4

Recorded Video • 15 minutes

27.

Module - 4 - Machine Learning - Session 1 - Part 1

Recorded Video • 20 minutes

28.

Module - 4 - Machine Learning - Session 1 - Part 2

Recorded Video • 20 minutes

29.

Module - 4 - Machine Learning - Session 1 - Part 3

Recorded Video • 20 minutes

30.

Module - 4 - Machine Learning - Session 2 - Part 1

Recorded Video • 30 minutes

31.

Module - 4 - Machine Learning - Session 2 - Part 2

Recorded Video • 30 minutes

32.

Module - 4 - Machine Learning - Session 2 - Part 3

Recorded Video • 30 minutes

33.

Module - 4 - Machine Learning - Session 3 - Linear Regression and Gradient Descent - Part - 1

Recorded Video • 30 minutes

34.

Module - 4 - Machine Learning - Session 3 - Linear Regression and Gradient Descent - Part - 2

Recorded Video • 30 minutes

35.

Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 1

Recorded Video • 30 minutes

36.

Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 2

Recorded Video • 30 minutes

37.

Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 3

Recorded Video • 20 minutes

38.

Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 4

Recorded Video • 20 minutes

39.

Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 5

Recorded Video • 20 minutes

40.

Module - 4 - Machine Learning - Session 5 - Introduction to Logistic Regression - Part 1

Recorded Video • 20 minutes

41.

Module - 4 - Machine Learning - Session 5 - Introduction to Logistic Regression - Part 2

Recorded Video • 20 minutes

42.

Module - 4 - Machine Learning - Session 5 - Introduction to Logistic Regression - Part 3

Recorded Video • 20 minutes

43.

Module - 4 - Machine Learning - Session 6 - Precision, Recall, F1 score, AUC - Part - 1

Recorded Video • 20 minutes

44.

Module - 4 - Machine Learning - Session 6 - Precision, Recall, F1 score, AUC - Part - 2

Recorded Video • 20 minutes

45.

Module - 4 - Machine Learning - Session 6 - Precision, Recall, F1 score, AUC - Part - 3

Recorded Video • 20 minutes

46.

Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 1

Recorded Video • 20 minutes

47.

Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 2

Recorded Video • 20 minutes

48.

Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 3

Recorded Video • 20 minutes

49.

Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 4

Recorded Video • 15 minutes

50.

Module - 4 - Machine Learning - Session 8 - Support Vector Machines Made Simple - Part 1

Recorded Video • 25 minutes

51.

Module - 4 - Machine Learning - Session 8 - Support Vector Machines Made Simple - Part 2

Recorded Video • 25 minutes

52.

Module - 4 - Machine Learning - Session 8 - Support Vector Machines Made Simple - Part 3

Recorded Video • 20 minutes

53.

Module - 4 - Machine Learning - Session 9 - SVM Practicals

Recorded Video • 60 minutes

54.

Module - 4 - Machine Learning - Session 10 - Discovering Hidden Patterns: Unsupervised Learning with K-Means Clustering

Recorded Video • 60 minutes

55.

Module 4 - Machine Learning - Session - 11 - Choosing the Right Number of Clusters - Using Elbow and Silhouette Method

Recorded Video • 60 minutes

56.

Module 4 - Machine Learning - Session - 12 - Silhouette Method & DBSCAN – Smarter Clustering in Machine Learning

Recorded Video • 60 minutes

57.

General Recap + Review + QA discussion - From Rules to Reinforcement: Exploring the Evolution of Machine Learning Systems

Recorded Video • 60 minutes

58.

Module 5 - Ensemble Techniques in Machine Learning

Recorded Video • 60 minutes

59.

Module 5 - Ensemble Techniques in Machine Learning - Recap + Practical insights

Recorded Video • 60 minutes

60.

Module 5 - Learning Decision Trees & Random Forest

Recorded Video • 60 minutes

61.

Module 5 - Random Forest Theory and Practical Implementation

Recorded Video • 60 minutes

62.

Machine Learning Recap & Revision – Bridging the Gap After Diwali Vacations

Recorded Video • 60 minutes

63.

Module 5: Ensemble Learning: Bagging & Boosting Made Easy

Recorded Video • 60 minutes

64.

Module 5 - Ensemble Learning: Stacking vs Blending Explained

Recorded Video • 60 minutes

65.

Module 6 - Model Selection & Tuning — Fine-Tuning Models for Maximum Accuracy

Recorded Video • 60 minutes

66.

Module 6 - Practical ML: Random Search & Essential Feature Engineering

Recorded Video • 60 minutes

67.

Module 6 - Data Leakage & Pipeline Creation in Machine Learning

Recorded Video • 60 minutes

68.

Module 7 - Featurization Techniques: Turning Raw Data into Model-Ready Insights

Recorded Video • 60 minutes

69.

Module 7 - PCA [Dimensionality Reduction] Unlocking Patterns in High-Dimensional Data

Recorded Video • 60 minutes

70.

Module 7 - From Text to Numbers: TF-IDF & Word2Vec – The Two Techniques Behind 90% of Real-World NLP Projects

Recorded Video • 60 minutes

71.

Module 8 - Unlocking the Power of Recommendation Systems: From Content-Based to Collaborative Filtering

Recorded Video • 60 minutes

72.

Module 8 - Movie Recommendation Systems: Practical Content-Based & Collaborative Filtering

Recorded Video • 60 minutes

73.

Module 8 - Recommendation Systems: SVD, Pearson Correlation & Collaborative Filtering

Recorded Video • 60 minutes

74.

Module 9 - Pixels to Pictures: The Magic of Image Processing

Recorded Video • 60 minutes

75.

Module 9 - Understanding Convolutions: The Power Behind CNNs

Recorded Video • 60 minutes

76.

Module 9 - Visualizing Convolution: From Kernels to Feature Maps - Practical on Handwritten digits identification - MNIST Dataset

Recorded Video • 60 minutes

77.

Module 9 - Hands-On Computer Vision: Face & Human Detection Essentials

Recorded Video • 60 minutes

78.

Module 10 - Neural Networks & Deep Learning: Build the Brain Behind AI

Recorded Video • 60 minutes

79.

Module 10 - Activation Functions & Their Role in Deep Learning

Recorded Video • 60 minutes

80.

Module 10 - Backpropagation and Optimization Techniques in Deep Learning

Recorded Video • 60 minutes

81.

Module 10 - From Zero to Deployment: Deep Learning for Real-World Applications

Recorded Video • 60 minutes

82.

Module 10 - Deep Learning Essentials: Dropout, Overfitting & Batch Norm with Live Implementation

Recorded Video • 60 minutes

83.

Module 11 - Neural Networks to NLP: The Essential Bridge to Understanding Human Language AI

Recorded Video • 60 minutes

84.

Module 11 - [NLP] Text Intelligence: From Representation to Sentiment Analysis

Recorded Video • 60 minutes

85.

Module 11 - Hands-On NLP: Code & Create - Practical

Recorded Video • 60 minutes

86.

Module 11 - Introduction to Hugging Face: Bridging Humans and Transformers

Recorded Video • 90 minutes

87.

Module 11 - Hands-on with Hugging Face – Saving & Loading Models, Tokenizers, and Pipelines

Recorded Video • 60 minutes

88.

Module 11 - Mastering Transformer Fine-Tuning: Build Smarter NLP Models with Hugging Face

Recorded Video • 60 minutes

89.

Module 12 - Unlocking the Power of Large Language Models (LLMs): From GPT to Prompt Engineering

Recorded Video • 60 minutes

90.

Module 12 - Mastering Prompt Engineering & Building Local LLM Applications

Recorded Video • 60 minutes

91.

Module 12 - LSTM from Scratch: Building a Mini Text Generator

Recorded Video • 60 minutes

92.

Module 13 - Learning LangChain & RAG: Build Next-Gen AI Applications

Recorded Video • 60 minutes

93.

Module 13 - LangChain + RAG: The Future of Intelligent AI Apps

Recorded Video • 60 minutes

94.

Module 13 - LangChain: Building Intelligent Applications with LLMs

Recorded Video • 60 minutes

95.

Module 13 - Building Intelligent Document Q&A: From RAG Mastery to Advanced AI Agents

Recorded Video • 60 minutes

96.

Module 13 - Agentic AI in Action: LangGraph, MCP, and Browser Automation

Recorded Video • 60 minutes

₹7,898.99

One-time payment • Lifetime access

Industry-recognized certificate

Live 1:1 Mentorship

96+ structured, in-depth lessons

Hands-on practical implementation

Industry-ready projects

Downloadable resources & practical notes

Designed for working professionals · No hidden charges